Senior Software Engineer, QA Python

Summary

Join our team as a Sr. Software Engineer-QA Python to develop DevOps and test automation, including environment creation of products and services, end-to-end solutions test automation, and more.

Requirements

• (MUST HAVE) Experience with AWS
• (MUST HAVE) CI/CD pipeline experience with cloud-centric applications across a variety of stacks
• (MUST HAVE) Experience designing, developing, executing, and triaging end-to-end test automation against cloud-based products
• (MUST HAVE) Development of applications/services in a cloud environment
• Experience with Kubernetes and CNCF technologies, docker
• Deep understanding of software testing including unit, component, system, end-to-end, contract, and interoperability, BDD, TDD
• Infrastructure-as-code development including Terraform and Ansible
• Ability to develop in several languages with priority of Java, .NET, Python, javascript
• Must be able to quickly acquire product knowledge, read business scenarios, and transform those into test automation
• Practitioner of agile practices
• Must be results oriented and customer focused
• Data-driven with working history of measuring test automation efficacy and efficiency
• Data analysis and engineering business intelligence background developing back-end data storing and front-end visuals for metrics and insights a huge plus
• Agile role certifications a plus, including value stream mapping practices to identify and eliminate waste in software delivery processes

Responsibilities

• Develop, execute, and triage test automation that covers critical customer paths of leading tax SaaS solutions
• Development of shared deployment pipeline services and automation for delivery of cloud applications through multiple environments, on multiple stacks include cloud-native Kubernetes as well as AWS EC2 instances
• Develop services and tools to handle the scheduling and orchestration of automated test suites
• Create cloud and application environment automation (infrastructure-as-code) and scripting to setup environment for both test automation and manual interaction
• Data-driven analysis and monitoring for triage of failures of services/applications, pipelines, and tests
• Write and structure documentation, representing architectures and user flows visually